Jointing Adjacent Environmental Variation Into a Deep Learning Model for Gap-Filling Passive Microwave-Based Land Surface Temperature

Passive microwave-based land surface temperature (PMW LST) serves as a significant source for complementary thermal infrared LST, whereas the orbit gaps frequently result in missing data. Up to now, many studies have proposed methods to fill these gaps in PMW LST. However, most of these methods depe...

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Bibliographic Details
Published in:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Main Authors:	Weizhen Ji, Yunhao Chen, Haiping Xia, Han Gao, Lei Zhu
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	AMSR2 deep learning gap filling land surface temperature passive microwave
Online Access:	https://ieeexplore.ieee.org/document/10938895/

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